Summary
PROJECT SUMMARY Current technology is constrained by a lack of specificity and sensitivity for wireless force sensing during spinal fusion. The conventional methods for acquiring force-sensing data from smart wireless spinal implants require various bulky modules for signal generation, power supply, signal modulation, and transmission. Consequently, there is a growing demand for wireless force sensing techniques for spinal implants characterized by their compact form, self-powered operation, and precise data transmission. We propose to determine the utility of the first-of-its-kind, personaliz
